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Big Data Engineer - Hybrid Madrid (Spark, Python, Airflow)

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Summary

Data/Big Data Engineer for a banking-sector tech project in Madrid, hybrid (50% on-site), immediate start. Day to day involves building big-data pipelines and workflows with Spark, Python and Scala, orchestrated with Airflow on Kubernetes.

MindMatch busca un Data Engineer / Big Data Engineer para un proyecto tecnológico del sector bancario en Madrid. Se requieren 3–4 años de experiencia, Python y Scala, y conocimiento de Spark, Airflow y Kubernetes.

Valoramos experiencia con COS/S3, Bash y scripting; IBM es deseable. Se ofrece modalidad híbrida (50% presencial) y posibilidad de adaptación entre equipos. Inglés C1 es deseable y la incorporación es inmediata. Horario: 42 h/semana de septiembre a junio y 30 h/semana en verano.

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